When validation passes, our experts will review your solution and schedule to run it automatically. If needed, though, we may reach out to you and ask to minor adjustments to fit our quality bar.
Below are the stages for review:
| Stage | Description |
| Validators | Your code output is run through validators for particular data type. Warning level may be accepted, however code with errors will not be flagged for review in next stage |
| Data spot check | Data produced by program is compared with data on target website by performing random spot checks as well as checking column quality and number of rows matches. |
| Code review | If data quality is good, we inspect code and make sure it uses best practises and will work longer term without breaking |
| Resource optimization | If code uses to much memory, compute power of third party apps, we will look into ways to make your pipeline more efficient to reduce our cost basis. |